Pandas Profiling Report

Dataset statistics

Number of variables	22
Number of observations	3726
Missing cells	6869
Missing cells (%)	8.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.3 MiB
Average record size in memory	659.5 B

Variable types

Categorical	13
Numeric	9

Alerts

`sector` has a high cardinality: 121 distinct values	High cardinality
`society` has a high cardinality: 686 distinct values	High cardinality
`areaWithType` has a high cardinality: 2386 distinct values	High cardinality
`price` is highly overall correlated with `price_per_sqft` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`area` is highly overall correlated with `price` and 5 other fields	High correlation
`bedRoom` is highly overall correlated with `price` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `price` and 5 other fields	High correlation
`SuperBuiltUpArea` is highly overall correlated with `price` and 7 other fields	High correlation
`builtUpArea` is highly overall correlated with `price` and 3 other fields	High correlation
`carpetArea` is highly overall correlated with `price` and 5 other fields	High correlation
`property_type` is highly overall correlated with `price` and 3 other fields	High correlation
`balcony` is highly overall correlated with `property_type`	High correlation
`servant room` is highly overall correlated with `bathroom` and 1 other fields	High correlation
`others` is highly imbalanced (50.1%)	Imbalance
`store room` is highly imbalanced (55.7%)	Imbalance
`facing` has 1072 (28.8%) missing values	Missing
`SuperBuiltUpArea` has 1845 (49.5%) missing values	Missing
`builtUpArea` has 2005 (53.8%) missing values	Missing
`carpetArea` has 1835 (49.2%) missing values	Missing
`area` is highly skewed (γ1 = 29.83483292)	Skewed
`builtUpArea` is highly skewed (γ1 = 36.47928394)	Skewed
`carpetArea` is highly skewed (γ1 = 24.45605372)	Skewed
`luxury_score` has 489 (13.1%) zeros	Zeros

Reproduction

Analysis started	2025-07-05 19:41:47.662141
Analysis finished	2025-07-05 19:41:53.299345
Duration	5.64 seconds
Software version	pandas-profiling v0.0.dev0
Download configuration	config.json

sector
Categorical

Distinct	121
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Memory size	270.3 KiB

sohna road	154
dlf phase	145
sector 85	108
sector 102	107
sector 92	99
Other values (116)	3113

Length

Max length	17
Median length	9
Mean length	9.2971014
Min length	7

Characters and Unicode

Total characters	34641
Distinct characters	34
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	sector 81
2nd row	sector 106
3rd row	dlf phase
4th row	sector 86
5th row	sector 36a

Common Values

Value	Count	Frequency (%)
sohna road	154	4.1%
dlf phase	145	3.9%
sector 85	108	2.9%
sector 102	107	2.9%
sector 92	99	2.7%
sector 69	93	2.5%
sector 90	88	2.4%
sector 65	87	2.3%
sector 81	87	2.3%
sector 109	86	2.3%
Other values (111)	2672	71.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sector	3266	43.8%
road	178	2.4%
sohna	166	2.2%
dlf	145	1.9%
phase	145	1.9%
85	108	1.4%
102	107	1.4%
92	99	1.3%
69	93	1.2%
90	88	1.2%
Other values (123)	3060	41.0%

Most occurring characters

Value	Count	Frequency (%)
s	3736	10.8%
	3729	10.8%
o	3710	10.7%
r	3524	10.2%
e	3472	10.0%
c	3356	9.7%
t	3353	9.7%
1	1082	3.1%
a	906	2.6%
0	796	2.3%
Other values (24)	6977	20.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	24082	69.5%
Decimal Number	6830	19.7%
Space Separator	3729	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	3736	15.5%
o	3710	15.4%
r	3524	14.6%
e	3472	14.4%
c	3356	13.9%
t	3353	13.9%
a	906	3.8%
h	397	1.6%
d	395	1.6%
n	264	1.1%
Other values (13)	969	4.0%

Decimal Number

Value	Count	Frequency (%)
1	1082	15.8%
0	796	11.7%
9	764	11.2%
8	756	11.1%
6	698	10.2%
7	670	9.8%
3	602	8.8%
2	540	7.9%
5	536	7.8%
4	386	5.7%

Space Separator

Value	Count	Frequency (%)
	3729	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	24082	69.5%
Common	10559	30.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	3736	15.5%
o	3710	15.4%
r	3524	14.6%
e	3472	14.4%
c	3356	13.9%
t	3353	13.9%
a	906	3.8%
h	397	1.6%
d	395	1.6%
n	264	1.1%
Other values (13)	969	4.0%

Common

Value	Count	Frequency (%)
	3729	35.3%
1	1082	10.2%
0	796	7.5%
9	764	7.2%
8	756	7.2%
6	698	6.6%
7	670	6.3%
3	602	5.7%
2	540	5.1%
5	536	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34641	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	3736	10.8%
	3729	10.8%
o	3710	10.7%
r	3524	10.2%
e	3472	10.0%
c	3356	9.7%
t	3353	9.7%
1	1082	3.1%
a	906	2.6%
0	796	2.3%
Other values (24)	6977	20.1%

property_type
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	251.9 KiB

flat	2841
house	885

Length

Max length	5
Median length	4
Mean length	4.2375201
Min length	4

Characters and Unicode

Total characters	15789
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	house
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2841	76.2%
house	885	23.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2841	76.2%
house	885	23.8%

Most occurring characters

Value	Count	Frequency (%)
f	2841	18.0%
l	2841	18.0%
a	2841	18.0%
t	2841	18.0%
h	885	5.6%
o	885	5.6%
u	885	5.6%
s	885	5.6%
e	885	5.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15789	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2841	18.0%
l	2841	18.0%
a	2841	18.0%
t	2841	18.0%
h	885	5.6%
o	885	5.6%
u	885	5.6%
s	885	5.6%
e	885	5.6%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15789	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2841	18.0%
l	2841	18.0%
a	2841	18.0%
t	2841	18.0%
h	885	5.6%
o	885	5.6%
u	885	5.6%
s	885	5.6%
e	885	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15789	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2841	18.0%
l	2841	18.0%
a	2841	18.0%
t	2841	18.0%
h	885	5.6%
o	885	5.6%
u	885	5.6%
s	885	5.6%
e	885	5.6%

society
Categorical

Distinct	686
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	297.7 KiB

independent	510
tulip violet	75
ss the leaf	73
shapoorji pallonji joyville gurugram	42
dlf new town heights	42
Other values (681)	2983

Length

Max length	49
Median length	39
Mean length	16.826577
Min length	1

Characters and Unicode

Total characters	62679
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	312 ?
Unique (%)	8.4%

Sample

1st row	bestech park view grand spa
2nd row	paras dews
3rd row	independent
4th row	dlf the skycourt
5th row	avl 36 gurgaon

Common Values

Value	Count	Frequency (%)
independent	510	13.7%
tulip violet	75	2.0%
ss the leaf	73	2.0%
shapoorji pallonji joyville gurugram	42	1.1%
dlf new town heights	42	1.1%
signature global park	35	0.9%
shree vardhman victoria	34	0.9%
emaar mgf emerald floors premier	32	0.9%
smart world orchard	32	0.9%
dlf the ultima	31	0.8%
Other values (676)	2819	75.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
independent	515	5.3%
the	354	3.6%
dlf	220	2.3%
park	209	2.1%
city	165	1.7%
emaar	155	1.6%
global	155	1.6%
m3m	152	1.6%
signature	150	1.5%
heights	134	1.4%
Other values (789)	7557	77.4%

Most occurring characters

Value	Count	Frequency (%)
e	6819	10.9%
	6043	9.6%
a	5910	9.4%
n	4259	6.8%
r	4198	6.7%
i	3877	6.2%
t	3765	6.0%
s	3500	5.6%
l	2967	4.7%
o	2766	4.4%
Other values (31)	18575	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	56088	89.5%
Space Separator	6043	9.6%
Decimal Number	529	0.8%
Other Punctuation	11	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6819	12.2%
a	5910	10.5%
n	4259	7.6%
r	4198	7.5%
i	3877	6.9%
t	3765	6.7%
s	3500	6.2%
l	2967	5.3%
o	2766	4.9%
d	2536	4.5%
Other values (16)	15491	27.6%

Decimal Number

Value	Count	Frequency (%)
3	207	39.1%
2	85	16.1%
1	74	14.0%
6	56	10.6%
8	32	6.0%
4	19	3.6%
5	17	3.2%
0	13	2.5%
9	13	2.5%
7	13	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	8	72.7%
/	2	18.2%
.	1	9.1%

Space Separator

Value	Count	Frequency (%)
	6043	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	56088	89.5%
Common	6591	10.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6819	12.2%
a	5910	10.5%
n	4259	7.6%
r	4198	7.5%
i	3877	6.9%
t	3765	6.7%
s	3500	6.2%
l	2967	5.3%
o	2766	4.9%
d	2536	4.5%
Other values (16)	15491	27.6%

Common

Value	Count	Frequency (%)
	6043	91.7%
3	207	3.1%
2	85	1.3%
1	74	1.1%
6	56	0.8%
8	32	0.5%
4	19	0.3%
5	17	0.3%
0	13	0.2%
9	13	0.2%
Other values (5)	32	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	62679	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6819	10.9%
	6043	9.6%
a	5910	9.4%
n	4259	6.8%
r	4198	6.7%
i	3877	6.2%
t	3765	6.0%
s	3500	5.6%
l	2967	4.7%
o	2766	4.4%
Other values (31)	18575	29.6%

price
Real number (ℝ)

Distinct	473
Distinct (%)	12.8%
Missing	37
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.5261697

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.2 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.51
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9759756
Coefficient of variation (CV)	1.1780585
Kurtosis	14.993735
Mean	2.5261697
Median Absolute Deviation (MAD)	0.72
Skewness	3.2859554
Sum	9319.04
Variance	8.856431
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.1%
1.5	66	1.8%
1.2	64	1.7%
0.9	64	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	58	1.6%
0.95	54	1.4%
2	53	1.4%
1.6	49	1.3%
Other values (463)	3079	82.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

Distinct	2666
Distinct (%)	72.3%
Missing	37
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	13882.194

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.2 KiB

Quantile statistics

Minimum	4
5-th percentile	4709.6
Q1	6812
median	9011
Q3	13878
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7066

Descriptive statistics

Standard deviation	23085.323
Coefficient of variation (CV)	1.6629449
Kurtosis	188.86555
Mean	13882.194
Median Absolute Deviation (MAD)	2794
Skewness	11.467374
Sum	51211414
Variance	5.3293216 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	20	0.5%
5000	17	0.5%
12500	15	0.4%
22222	14	0.4%
6666	13	0.3%
11111	13	0.3%
7500	12	0.3%
8333	12	0.3%
6000	11	0.3%
Other values (2656)	3535	94.9%
(Missing)	37	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	2647
Distinct (%)	71.8%
Missing	37
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	2883.7152

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.2 KiB

Quantile statistics

Minimum	50
5-th percentile	514.026
Q1	1224.13
median	1728
Q3	2300.08
95-th percentile	4267.532
Maximum	875000
Range	874950
Interquartile range (IQR)	1075.95

Descriptive statistics

Standard deviation	23079.964
Coefficient of variation (CV)	8.0035518
Kurtosis	948.91614
Mean	2883.7152
Median Absolute Deviation (MAD)	528.32
Skewness	29.834833
Sum	10638025
Variance	5.3268473 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3240	37	1.0%
2000	33	0.9%
2700	32	0.9%
1800	27	0.7%
900	23	0.6%
1350	19	0.5%
1000	18	0.5%
1650.17	17	0.5%
1250	13	0.3%
2430	13	0.3%
Other values (2637)	3457	92.8%
(Missing)	37	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	5	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857.14	1	< 0.1%
620000	1	< 0.1%
566666.67	1	< 0.1%
215517.2	1	< 0.1%
98977.9	1	< 0.1%
82781.5	1	< 0.1%
65517.24	2	0.1%
65261	1	< 0.1%
58227.85	1	< 0.1%

areaWithType
Categorical

Distinct	2386
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	433.3 KiB

Plot area 360(301.01 sq.m.)	37
Plot area 300(250.84 sq.m.)	26
Plot area 502(419.74 sq.m.)	19
Plot area 200(167.23 sq.m.)	19
Plot area 270(225.75 sq.m.)	17
Other values (2381)	3608

Length

Max length	124
Median length	119
Mean length	54.072195
Min length	12

Characters and Unicode

Total characters	201473
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1873 ?
Unique (%)	50.3%

Sample

1st row	Super Built up area 2660(247.12 sq.m.)
2nd row	Carpet area: 1385 (128.67 sq.m.)
3rd row	Built Up area: 360 (33.45 sq.m.)
4th row	Super Built up area 1929(179.21 sq.m.)Built Up area: 1500 sq.ft. (139.35 sq.m.)Carpet area: 1300 sq.ft. (120.77 sq.m.)
5th row	Super Built up area 1000(92.9 sq.m.)Carpet area: 727 sq.ft. (67.54 sq.m.)

Common Values

Value	Count	Frequency (%)
Plot area 360(301.01 sq.m.)	37	1.0%
Plot area 300(250.84 sq.m.)	26	0.7%
Plot area 502(419.74 sq.m.)	19	0.5%
Plot area 200(167.23 sq.m.)	19	0.5%
Plot area 270(225.75 sq.m.)	17	0.5%
Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)	17	0.5%
Super Built up area 1578(146.6 sq.m.)	17	0.5%
Plot area 900(83.61 sq.m.)	15	0.4%
Plot area 500(418.06 sq.m.)	15	0.4%
Super Built up area 1350(125.42 sq.m.)	15	0.4%
Other values (2376)	3529	94.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
area	5636	18.5%
sq.m	3704	12.2%
up	3045	10.0%
built	2337	7.7%
super	1881	6.2%
sq.ft	1761	5.8%
sq.m.)carpet	1195	3.9%
sq.m.)built	706	2.3%
plot	698	2.3%
carpet	694	2.3%
Other values (2867)	8807	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26738	13.3%
.	20602	10.2%
a	13305	6.6%
r	9550	4.7%
e	9410	4.7%
1	9280	4.6%
s	7648	3.8%
q	7508	3.7%
t	7397	3.7%
p	6819	3.4%
Other values (25)	83216	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	83578	41.5%
Decimal Number	47621	23.6%
Space Separator	26738	13.3%
Other Punctuation	23659	11.7%
Uppercase Letter	8681	4.3%
Close Punctuation	5598	2.8%
Open Punctuation	5598	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13305	15.9%
r	9550	11.4%
e	9410	11.3%
s	7648	9.2%
q	7508	9.0%
t	7397	8.9%
p	6819	8.2%
u	6807	8.1%
m	5607	6.7%
l	3743	4.5%
Other values (5)	5784	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9280	19.5%
0	6724	14.1%
2	5736	12.0%
5	4768	10.0%
3	3991	8.4%
4	3749	7.9%
6	3711	7.8%
7	3284	6.9%
8	3200	6.7%
9	3178	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3045	35.1%
C	1893	21.8%
S	1881	21.7%
U	1164	13.4%
P	698	8.0%

Other Punctuation

Value	Count	Frequency (%)
.	20602	87.1%
:	3057	12.9%

Space Separator

Value	Count	Frequency (%)
	26738	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5598	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5598	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	109214	54.2%
Latin	92259	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13305	14.4%
r	9550	10.4%
e	9410	10.2%
s	7648	8.3%
q	7508	8.1%
t	7397	8.0%
p	6819	7.4%
u	6807	7.4%
m	5607	6.1%
l	3743	4.1%
Other values (10)	14465	15.7%

Common

Value	Count	Frequency (%)
	26738	24.5%
.	20602	18.9%
1	9280	8.5%
0	6724	6.2%
2	5736	5.3%
)	5598	5.1%
(	5598	5.1%
5	4768	4.4%
3	3991	3.7%
4	3749	3.4%
Other values (5)	16430	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	201473	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26738	13.3%
.	20602	10.2%
a	13305	6.6%
r	9550	4.7%
e	9410	4.7%
1	9280	4.6%
s	7648	3.8%
q	7508	3.7%
t	7397	3.7%
p	6819	3.4%
Other values (25)	83216	41.3%

bedRoom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3604402

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8940336
Coefficient of variation (CV)	0.56362666
Kurtosis	18.123419
Mean	3.3604402
Median Absolute Deviation (MAD)	1
Skewness	3.4701945
Sum	12521
Variance	3.5873635
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1510	40.5%
2	960	25.8%
4	668	17.9%
5	213	5.7%
1	124	3.3%
6	77	2.1%
9	42	1.1%
7	30	0.8%
8	30	0.8%
12	28	0.8%
Other values (9)	44	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	124	3.3%
2	960	25.8%
3	1510	40.5%
4	668	17.9%
5	213	5.7%
6	77	2.1%
7	30	0.8%
8	30	0.8%
9	42	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4181428

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.2 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9461567
Coefficient of variation (CV)	0.56936085
Kurtosis	17.429952
Mean	3.4181428
Median Absolute Deviation (MAD)	1
Skewness	3.2333378
Sum	12736
Variance	3.7875258
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1087	29.2%
2	1069	28.7%
4	826	22.2%
5	295	7.9%
1	161	4.3%
6	119	3.2%
9	42	1.1%
7	41	1.1%
8	26	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	161	4.3%
2	1069	28.7%
3	1087	29.2%
4	826	22.2%
5	295	7.9%
6	119	3.2%
7	41	1.1%
8	26	0.7%
9	42	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	8
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	242.2 KiB

3+	1178
3	932
2	701
1	292
2.0	198
Other values (3)	425

Length

Max length	3
Median length	1
Mean length	1.5496511
Min length	1

Characters and Unicode

Total characters	5774
Distinct characters	6
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3+
2nd row	2
3rd row	0
4th row	3+
5th row	2

Common Values

Value	Count	Frequency (%)
3+	1178	31.6%
3	932	25.0%
2	701	18.8%
1	292	7.8%
2.0	198	5.3%
0	188	5.0%
3.0	152	4.1%
1.0	85	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2110	56.6%
2	701	18.8%
1	292	7.8%
2.0	198	5.3%
0	188	5.0%
3.0	152	4.1%
1.0	85	2.3%

Most occurring characters

Value	Count	Frequency (%)
3	2262	39.2%
+	1178	20.4%
2	899	15.6%
0	623	10.8%
.	435	7.5%
1	377	6.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	4161	72.1%
Math Symbol	1178	20.4%
Other Punctuation	435	7.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2262	54.4%
2	899	21.6%
0	623	15.0%
1	377	9.1%

Math Symbol

Value	Count	Frequency (%)
+	1178	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	435	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	5774	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2262	39.2%
+	1178	20.4%
2	899	15.6%
0	623	10.8%
.	435	7.5%
1	377	6.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5774	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2262	39.2%
+	1178	20.4%
2	899	15.6%
0	623	10.8%
.	435	7.5%
1	377	6.5%

facing
Categorical

Distinct	8
Distinct (%)	0.3%
Missing	1072
Missing (%)	28.8%
Memory size	228.1 KiB

East	631
North-East	629
North	391
West	249
South	232
Other values (3)	522

Length

Max length	10
Median length	5
Mean length	6.83685
Min length	4

Characters and Unicode

Total characters	18145
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	North
2nd row	West
3rd row	North-East
4th row	North-East
5th row	South

Common Values

Value	Count	Frequency (%)
East	631	16.9%
North-East	629	16.9%
North	391	10.5%
West	249	6.7%
South	232	6.2%
North-West	194	5.2%
South-East	175	4.7%
South-West	153	4.1%
(Missing)	1072	28.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
east	631	23.8%
north-east	629	23.7%
north	391	14.7%
west	249	9.4%
south	232	8.7%
north-west	194	7.3%
south-east	175	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3805	21.0%
s	2031	11.2%
o	1774	9.8%
h	1774	9.8%
E	1435	7.9%
a	1435	7.9%
N	1214	6.7%
r	1214	6.7%
-	1151	6.3%
W	596	3.3%
Other values (3)	1716	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13189	72.7%
Uppercase Letter	3805	21.0%
Dash Punctuation	1151	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3805	28.8%
s	2031	15.4%
o	1774	13.5%
h	1774	13.5%
a	1435	10.9%
r	1214	9.2%
e	596	4.5%
u	560	4.2%

Uppercase Letter

Value	Count	Frequency (%)
E	1435	37.7%
N	1214	31.9%
W	596	15.7%
S	560	14.7%

Dash Punctuation

Value	Count	Frequency (%)
-	1151	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16994	93.7%
Common	1151	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3805	22.4%
s	2031	12.0%
o	1774	10.4%
h	1774	10.4%
E	1435	8.4%
a	1435	8.4%
N	1214	7.1%
r	1214	7.1%
W	596	3.5%
e	596	3.5%
Other values (2)	1120	6.6%

Common

Value	Count	Frequency (%)
-	1151	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18145	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3805	21.0%
s	2031	11.2%
o	1774	9.8%
h	1774	9.8%
E	1435	7.9%
a	1435	7.9%
N	1214	6.7%
r	1214	6.7%
-	1151	6.3%
W	596	3.3%
Other values (3)	1716	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	285.2 KiB

Relatively New	1652
New Property	599
Moderately Old	571
Undefined	321
Old Property	312

Length

Max length	18
Median length	14
Mean length	13.371176
Min length	9

Characters and Unicode

Total characters	49821
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	New Property
2nd row	New Property
3rd row	Undefined
4th row	Relatively New
5th row	Relatively New

Common Values

Value	Count	Frequency (%)
Relatively New	1652	44.3%
New Property	599	16.1%
Moderately Old	571	15.3%
Undefined	321	8.6%
Old Property	312	8.4%
Under Construction	271	7.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2251	31.6%
relatively	1652	23.2%
property	911	12.8%
old	883	12.4%
moderately	571	8.0%
undefined	321	4.5%
under	271	3.8%
construction	271	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	8521	17.1%
l	4758	9.6%
t	3676	7.4%
	3405	6.8%
y	3134	6.3%
r	2935	5.9%
d	2367	4.8%
N	2251	4.5%
w	2251	4.5%
i	2244	4.5%
Other values (15)	14279	28.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	39285	78.9%
Uppercase Letter	7131	14.3%
Space Separator	3405	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8521	21.7%
l	4758	12.1%
t	3676	9.4%
y	3134	8.0%
r	2935	7.5%
d	2367	6.0%
w	2251	5.7%
i	2244	5.7%
a	2223	5.7%
o	2024	5.2%
Other values (7)	5152	13.1%

Uppercase Letter

Value	Count	Frequency (%)
N	2251	31.6%
R	1652	23.2%
P	911	12.8%
O	883	12.4%
U	592	8.3%
M	571	8.0%
C	271	3.8%

Space Separator

Value	Count	Frequency (%)
	3405	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	46416	93.2%
Common	3405	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8521	18.4%
l	4758	10.3%
t	3676	7.9%
y	3134	6.8%
r	2935	6.3%
d	2367	5.1%
N	2251	4.8%
w	2251	4.8%
i	2244	4.8%
a	2223	4.8%
Other values (14)	12056	26.0%

Common

Value	Count	Frequency (%)
	3405	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49821	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8521	17.1%
l	4758	9.6%
t	3676	7.4%
	3405	6.8%
y	3134	6.3%
r	2935	5.9%
d	2367	4.8%
N	2251	4.5%
w	2251	4.5%
i	2244	4.5%
Other values (15)	14279	28.7%

SuperBuiltUpArea
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	587
Distinct (%)	31.2%
Missing	1845
Missing (%)	49.5%
Infinite	0
Infinite (%)	0.0%
Mean	1923.8102

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.2 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1478
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	737

Descriptive statistics

Standard deviation	763.69512
Coefficient of variation (CV)	0.39697009
Kurtosis	10.352611
Mean	1923.8102
Median Absolute Deviation (MAD)	372
Skewness	1.8387213
Sum	3618687
Variance	583230.23
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
2000	25	0.7%
1578	25	0.7%
1640	22	0.6%
2150	22	0.6%
2408	19	0.5%
1900	19	0.5%
1930	18	0.5%
2812	17	0.5%
Other values (577)	1640	44.0%
(Missing)	1845	49.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

builtUpArea
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	638
Distinct (%)	37.1%
Missing	2005
Missing (%)	53.8%
Infinite	0
Infinite (%)	0.0%
Mean	2596.6734

Minimum	18
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.2 KiB

Quantile statistics

Minimum	18
5-th percentile	260
Q1	1115
median	1662
Q3	2430
95-th percentile	4861
Maximum	737147
Range	737129
Interquartile range (IQR)	1315

Descriptive statistics

Standard deviation	18684.731
Coefficient of variation (CV)	7.1956415
Kurtosis	1404.2914
Mean	2596.6734
Median Absolute Deviation (MAD)	653
Skewness	36.479284
Sum	4468875
Variance	3.4911918 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	42	1.1%
3240	38	1.0%
1350	34	0.9%
1900	34	0.9%
2700	33	0.9%
900	31	0.8%
1600	26	0.7%
2000	24	0.6%
1300	24	0.6%
1700	23	0.6%
Other values (628)	1412	37.9%
(Missing)	2005	53.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	1	< 0.1%
30	1	< 0.1%
50	4	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	3	0.1%
61	1	< 0.1%
62	1	< 0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
234000	1	< 0.1%
36000	1	< 0.1%
30600	2	0.1%
19440	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	9	0.2%
8775	1	< 0.1%

carpetArea
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	700
Distinct (%)	37.0%
Missing	1835
Missing (%)	49.2%
Infinite	0
Infinite (%)	0.0%
Mean	2516.5278

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	58.2 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	830
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	960

Descriptive statistics

Standard deviation	22685.512
Coefficient of variation (CV)	9.0146082
Kurtosis	610.68079
Mean	2516.5278
Median Absolute Deviation (MAD)	478
Skewness	24.456054
Sum	4758754
Variance	5.1463245 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	36	1.0%
1600	35	0.9%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1000	23	0.6%
2000	22	0.6%
Other values (690)	1595	42.8%
(Missing)	1835	49.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76	3	0.1%
77	2	0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	240.2 KiB

0	3317
1	409

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3726
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	3317	89.0%
1	409	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3317	89.0%
1	409	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3317	89.0%
1	409	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3726	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3317	89.0%
1	409	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3726	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3317	89.0%
1	409	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3726	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3317	89.0%
1	409	11.0%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	240.2 KiB

0	3063
1	663

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3726
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3063	82.2%
1	663	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3063	82.2%
1	663	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3063	82.2%
1	663	17.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3726	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3063	82.2%
1	663	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3726	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3063	82.2%
1	663	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3726	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3063	82.2%
1	663	17.8%

servant room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	240.2 KiB

0	2394
1	1332

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3726
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2394	64.3%
1	1332	35.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2394	64.3%
1	1332	35.7%

Most occurring characters

Value	Count	Frequency (%)
0	2394	64.3%
1	1332	35.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3726	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2394	64.3%
1	1332	35.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	3726	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2394	64.3%
1	1332	35.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3726	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2394	64.3%
1	1332	35.7%

store room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	240.2 KiB

0	3383
1	343

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3726
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3383	90.8%
1	343	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3383	90.8%
1	343	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3383	90.8%
1	343	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3726	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3383	90.8%
1	343	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3726	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3383	90.8%
1	343	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3726	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3383	90.8%
1	343	9.2%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	240.2 KiB

0	3017
1	709

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3726
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3017	81.0%
1	709	19.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3017	81.0%
1	709	19.0%

Most occurring characters

Value	Count	Frequency (%)
0	3017	81.0%
1	709	19.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3726	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3017	81.0%
1	709	19.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3726	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3017	81.0%
1	709	19.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3726	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3017	81.0%
1	709	19.0%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	240.2 KiB

0	2479
2	1044
1	203

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3726
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	2479	66.5%
2	1044	28.0%
1	203	5.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2479	66.5%
2	1044	28.0%
1	203	5.4%

Most occurring characters

Value	Count	Frequency (%)
0	2479	66.5%
2	1044	28.0%
1	203	5.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3726	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2479	66.5%
2	1044	28.0%
1	203	5.4%

Most occurring scripts

Value	Count	Frequency (%)
Common	3726	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2479	66.5%
2	1044	28.0%
1	203	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3726	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2479	66.5%
2	1044	28.0%
1	203	5.4%

luxury_score
Real number (ℝ)

Distinct	161
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.863124

Minimum	0
Maximum	174
Zeros	489
Zeros (%)	13.1%
Negative	0
Negative (%)	0.0%
Memory size	58.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	58
Q3	109.75
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	78.75

Descriptive statistics

Standard deviation	53.139952
Coefficient of variation (CV)	0.74989571
Kurtosis	-0.87232025
Mean	70.863124
Median Absolute Deviation (MAD)	38
Skewness	0.46783279
Sum	264036
Variance	2823.8545
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	489	13.1%
49	348	9.3%
174	195	5.2%
44	61	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
42	47	1.3%
60	47	1.3%
37	45	1.2%
Other values (151)	2332	62.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	489	13.1%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	31	0.8%
9	9	0.2%
12	6	0.2%
13	11	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.2%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Auto

Heatmap
Table

	price	price_per_sqft	area	bedRoom	bathroom	SuperBuiltUpArea	builtUpArea	carpetArea	luxury_score	property_type	balcony	facing	agePossession	others	pooja room	servant room	store room	study room	furnishing_type
price	1.000	0.742	0.746	0.680	0.720	0.773	0.638	0.614	0.220	0.539	0.167	0.022	0.102	0.035	0.335	0.370	0.306	0.244	0.175
price_per_sqft	0.742	1.000	0.205	0.419	0.411	0.289	0.158	0.138	0.055	0.206	0.066	0.000	0.049	0.031	0.039	0.049	0.000	0.032	0.021
area	0.746	0.205	1.000	0.621	0.686	0.948	0.860	0.802	0.264	0.028	0.000	0.022	0.000	0.042	0.037	0.015	0.038	0.018	0.044
bedRoom	0.680	0.419	0.621	1.000	0.859	0.800	0.401	0.568	0.057	0.590	0.197	0.033	0.129	0.077	0.288	0.315	0.219	0.152	0.166
bathroom	0.720	0.411	0.686	0.859	1.000	0.819	0.488	0.597	0.184	0.467	0.201	0.043	0.111	0.067	0.284	0.519	0.241	0.174	0.194
SuperBuiltUpArea	0.773	0.289	0.948	0.800	0.819	1.000	0.926	0.893	0.224	1.000	0.306	0.000	0.086	0.086	0.157	0.584	0.041	0.122	0.133
builtUpArea	0.638	0.158	0.860	0.401	0.488	0.926	1.000	0.969	0.286	0.002	0.030	0.000	0.000	0.000	0.029	0.011	0.000	0.000	0.061
carpetArea	0.614	0.138	0.802	0.568	0.597	0.893	0.969	1.000	0.244	0.000	0.000	0.000	0.000	0.016	0.000	0.000	0.000	0.005	0.000
luxury_score	0.220	0.055	0.264	0.057	0.184	0.224	0.286	0.244	1.000	0.334	0.201	0.064	0.257	0.175	0.191	0.352	0.227	0.187	0.241
property_type	0.539	0.206	0.028	0.590	0.467	1.000	0.002	0.000	0.334	1.000	0.751	0.092	0.384	0.024	0.249	0.058	0.239	0.123	0.081
balcony	0.167	0.066	0.000	0.197	0.201	0.306	0.030	0.000	0.201	0.751	1.000	0.031	0.294	0.089	0.241	0.446	0.203	0.194	0.189
facing	0.022	0.000	0.022	0.033	0.043	0.000	0.000	0.000	0.064	0.092	0.031	1.000	0.092	0.000	0.024	0.032	0.032	0.000	0.054
agePossession	0.102	0.049	0.000	0.129	0.111	0.086	0.000	0.000	0.257	0.384	0.294	0.092	1.000	0.110	0.188	0.289	0.148	0.143	0.215
others	0.035	0.031	0.042	0.077	0.067	0.086	0.000	0.016	0.175	0.024	0.089	0.000	0.110	1.000	0.036	0.000	0.106	0.035	0.064
pooja room	0.335	0.039	0.037	0.288	0.284	0.157	0.029	0.000	0.191	0.249	0.241	0.024	0.188	0.036	1.000	0.254	0.302	0.317	0.215
servant room	0.370	0.049	0.015	0.315	0.519	0.584	0.011	0.000	0.352	0.058	0.446	0.032	0.289	0.000	0.254	1.000	0.160	0.186	0.268
store room	0.306	0.000	0.038	0.219	0.241	0.041	0.000	0.000	0.227	0.239	0.203	0.032	0.148	0.106	0.302	0.160	1.000	0.222	0.155
study room	0.244	0.032	0.018	0.152	0.174	0.122	0.000	0.005	0.187	0.123	0.194	0.000	0.143	0.035	0.317	0.186	0.222	1.000	0.140
furnishing_type	0.175	0.021	0.044	0.166	0.194	0.133	0.061	0.000	0.241	0.081	0.189	0.054	0.215	0.064	0.215	0.268	0.155	0.140	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	sector	property_type	society	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	facing	agePossession	SuperBuiltUpArea	builtUpArea	carpetArea	others	servant room	study room	furnishing_type	luxury_score
0	sector 81	flat	bestech park view grand spa	2.40	9022.0	2660.16	Super Built up area 2660(247.12 sq.m.)	3	4	3+	North	New Property	2660.0	NaN	NaN	0	1	1	2	167
1	sector 106	flat	paras dews	1.05	7581.0	1385.04	Carpet area: 1385 (128.67 sq.m.)	2	2	2	West	New Property	NaN	NaN	1385.0	0	0	0	0	97
2	dlf phase	house	independent	4.50	125000.0	360.00	Built Up area: 360 (33.45 sq.m.)	4	4	0	NaN	Undefined	NaN	360.0	NaN	0	0	0	0	0
3	sector 86	flat	dlf the skycourt	1.55	8035.0	1929.06	Super Built up area 1929(179.21 sq.m.)Built Up area: 1500 sq.ft. (139.35 sq.m.)Carpet area: 1300 sq.ft. (120.77 sq.m.)	3	3	3+	North-East	Relatively New	1929.0	1500.0	1300.0	1	0	0	1	166
4	sector 36a	flat	avl 36 gurgaon	0.75	7500.0	1000.00	Super Built up area 1000(92.9 sq.m.)Carpet area: 727 sq.ft. (67.54 sq.m.)	2	2	2	North-East	Relatively New	1000.0	NaN	727.0	0	0	0	0	26
5	sector 69	flat	tulip violet	1.92	15360.0	1250.00	Carpet area: 1250 (116.13 sq.m.)	4	4	2	South	Relatively New	NaN	NaN	1250.0	0	0	0	0	174
6	sector 49	flat	orchid petals	2.38	11497.0	2070.11	Super Built up area 2070(192.31 sq.m.)Built Up area: 2061 sq.ft. (191.47 sq.m.)Carpet area: 1750 sq.ft. (162.58 sq.m.)	3	4	3	West	Relatively New	2070.0	2061.0	1750.0	0	0	1	0	49
7	sector 95	flat	signature global rosellia	0.45	8754.0	514.05	Carpet area: 514 (47.75 sq.m.)	2	2	2	NaN	New Property	NaN	NaN	514.0	0	0	0	0	24
8	dlf phase	house	independent	6.60	36667.0	1800.00	Plot area 200(167.23 sq.m.)	6	7	3+	East	Moderately Old	NaN	1800.0	NaN	0	1	1	2	119
9	sector 113	flat	la vida by tata housing	3.05	11338.0	2690.07	Super Built up area 2690(249.91 sq.m.)Built Up area: 2600 sq.ft. (241.55 sq.m.)Carpet area: 2240 sq.ft. (208.1 sq.m.)	3	4	3	North-East	New Property	2690.0	2600.0	2240.0	0	1	0	0	174

	sector	property_type	society	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	facing	agePossession	SuperBuiltUpArea	builtUpArea	carpetArea	others	pooja room	servant room	study room	furnishing_type	luxury_score
3853	sector 103	house	satya the hermitage	3.15	6702.0	4700.10	Built Up area: 4700 (436.64 sq.m.)	4	5	0	East	Undefined	NaN	4700.0	NaN	0	0	0	0	0	61
3854	sector 33	flat	godrej nature plus	1.30	8349.0	1557.07	Super Built up area 1557(144.65 sq.m.)	3	2	3+	North	New Property	1557.0	NaN	NaN	0	0	0	0	0	38
3855	sector 78	flat	raheja revanta	0.99	6100.0	1622.95	Super Built up area 1621(150.6 sq.m.)	2	2	3	East	Under Construction	1621.0	NaN	NaN	1	0	0	0	0	39
3857	sector 102	flat	shapoorji pallonji joyville gurugram	1.90	10259.0	1852.03	Super Built up area 1852(172.06 sq.m.)Built Up area: 1700 sq.ft. (157.94 sq.m.)Carpet area: 1450 sq.ft. (134.71 sq.m.)	3	3	3+	North-East	New Property	1852.0	1700.0	1450.0	0	1	0	0	0	174
3858	sector 9a	flat	the new crpf apartments	0.75	5813.0	1290.21	Carpet area: 1290 (119.84 sq.m.)	3	3	3	East	Old Property	NaN	NaN	1290.0	0	1	0	0	0	31
3859	sector 49	flat	orchid petals	2.55	12318.0	2070.14	Super Built up area 2070(192.31 sq.m.)Built Up area: 2060 sq.ft. (191.38 sq.m.)Carpet area: 1760 sq.ft. (163.51 sq.m.)	3	4	3	East	Relatively New	2070.0	2060.0	1760.0	0	0	0	1	2	49
3860	sector 70a	flat	aipl the peaceful homes	2.60	12009.0	2165.04	Carpet area: 2165 (201.14 sq.m.)	3	2	2	NaN	Moderately Old	NaN	NaN	2165.0	0	0	1	0	0	52
3861	sohna road	flat	eldeco accolade	1.10	7549.0	1457.15	Super Built up area 1457(135.36 sq.m.)	3	2	3	NaN	Relatively New	1457.0	NaN	NaN	0	0	0	0	0	56
3862	sector 37d	flat	bptp terra	1.17	8297.0	1410.15	Super Built up area 1410(130.99 sq.m.)	2	2	2	North-East	Relatively New	1410.0	NaN	NaN	0	0	0	0	0	107
3864	sector 104	flat	ats triumph	1.73	7554.0	2290.18	Super Built up area 2290(212.75 sq.m.)	3	4	3+	North-East	Relatively New	2290.0	NaN	NaN	0	0	1	0	0	159

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block